Data Collection & Image Processing - Vehicles
Budget: $250 – $750 USD
PROJECT BRIEFING – VEHICLE & MACHINERY DATA COLLECTION AND IMAGE PROCESSING
Project Goal:
We are building a structured vehicle and machinery database for an internal project focused on AI showroom simulations and market comparison analysis. The goal is to create a clean, consistent dataset that can be used directly for a website.
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Scope of Work:
* Collect:
* 20 tractors
* 5 wheel loaders
* 5 excavators
* 5 large tractor trailers
* Only model years 2024, 2025, or 2026
* Vehicles must be located in Europe
* No duplicates
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Brands (Top 5 – apply across all machinery where possible):
* John Deere
* Fendt
* Case IH
* New Holland
* Massey Ferguson
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Sources:
Vehicles should be researched on platforms such as:
* Autotrader / dealer websites
* Machinery marketplaces
* Example sources: Agriaffaires.com, Tractorpool
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Required Data per Vehicle:
* Brand and model
* Year
* Price (from listing)
* Technical details (if available)
* Description
* VIN / FIN (mandatory and must match the exact vehicle)
* Location
* Source (listing link or dealer contact)
If any required data is missing, it must be obtained by contacting the seller via email or phone.
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Image Requirements:
* Minimum 10 images per vehicle
* Must include:
* Front view
* Side view
* Rear view
* Interior (if available)
* Image showing VIN / type plate (mandatory)
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Image Processing Requirements:
All images must be processed as follows:
1. Remove all watermarks and text
2. Remove the background completely
3. Insert a clean indoor showroom background
4. Add a soft, realistic shadow under the vehicle
5. Ensure a consistent, professional look across all vehicles
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Delivery Format:
* CSV, Excel, or JSON file
* Structured folders with images
* Clear and consistent file naming per vehicle
* Data must be ready for direct website use
---
Quality Requirements:
* VIN must be correct and verifiable
* No stock or manufacturer images
* No duplicates
* All data must match the exact vehicle
* Clean and structured delivery is mandatory
---
Payment:
* 8 € per completed vehicle
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Bonus (Performance-Based):
* +50 € bonus if all vehicles are delivered clean and error-free
---
Test Task:
* 1 test vehicle is required before starting
* Payment: 5–8 €
* Only qualified freelancers will continue with the full project
---
Deadline:
As soon as possible. Please specify your timeline.
---
Application:
Please include relevant experience, estimated delivery time, and confirmation that you understand the VIN requirement.
Project Goal:
We are building a structured vehicle and machinery database for an internal project focused on AI showroom simulations and market comparison analysis. The goal is to create a clean, consistent dataset that can be used directly for a website.
---
Scope of Work:
* Collect:
* 20 tractors
* 5 wheel loaders
* 5 excavators
* 5 large tractor trailers
* Only model years 2024, 2025, or 2026
* Vehicles must be located in Europe
* No duplicates
---
Brands (Top 5 – apply across all machinery where possible):
* John Deere
* Fendt
* Case IH
* New Holland
* Massey Ferguson
---
Sources:
Vehicles should be researched on platforms such as:
* Autotrader / dealer websites
* Machinery marketplaces
* Example sources: Agriaffaires.com, Tractorpool
---
Required Data per Vehicle:
* Brand and model
* Year
* Price (from listing)
* Technical details (if available)
* Description
* VIN / FIN (mandatory and must match the exact vehicle)
* Location
* Source (listing link or dealer contact)
If any required data is missing, it must be obtained by contacting the seller via email or phone.
---
Image Requirements:
* Minimum 10 images per vehicle
* Must include:
* Front view
* Side view
* Rear view
* Interior (if available)
* Image showing VIN / type plate (mandatory)
---
Image Processing Requirements:
All images must be processed as follows:
1. Remove all watermarks and text
2. Remove the background completely
3. Insert a clean indoor showroom background
4. Add a soft, realistic shadow under the vehicle
5. Ensure a consistent, professional look across all vehicles
---
Delivery Format:
* CSV, Excel, or JSON file
* Structured folders with images
* Clear and consistent file naming per vehicle
* Data must be ready for direct website use
---
Quality Requirements:
* VIN must be correct and verifiable
* No stock or manufacturer images
* No duplicates
* All data must match the exact vehicle
* Clean and structured delivery is mandatory
---
Payment:
* 8 € per completed vehicle
---
Bonus (Performance-Based):
* +50 € bonus if all vehicles are delivered clean and error-free
---
Test Task:
* 1 test vehicle is required before starting
* Payment: 5–8 €
* Only qualified freelancers will continue with the full project
---
Deadline:
As soon as possible. Please specify your timeline.
---
Application:
Please include relevant experience, estimated delivery time, and confirmation that you understand the VIN requirement.